Abstract
Process mining provides a series of techniques to analyze business processes based on execution data in enterprises. It has been successfully applied to classical processes on WFM/BPM systems, in which one process execution consists of events attached with the same case id. However, existing process mining techniques suffer from problems when dealing with artifact-centric systems, such as ERP and CRM, in which a business process involves a set of interacting artifacts and a case notion for the whole process is missing. Some typical problems are convergence and divergence in XES logs, and lost interactions between multiple instances in process models. Existing artifact-centric approaches try to address these problems, but have not yet solved them satisfactorily. For instance, one has to pick an instance notion in each artifact, the description of the end-to-end behavior is distributed over multiple diagrams, and the interactions between the data perspective and the behavioral perspective are not explicitly presented. This paper proposes a set of new techniques, such as a novel log format and a novel modeling language, to enable process mining for artifact-centric systems.
| Language | English |
|---|---|
| Title of host publication | Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018) |
| Subtitle of host publication | Rostock, Germany, May 24th to 25th, 2018. |
| Editors | Michael Fellmann, Kurt Sandkuhl |
| Publisher | CEUR-WS.org |
| Pages | 80-84 |
| Number of pages | 5 |
| State | Published - 1 Jan 2018 |
| Event | 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018) - Rostock, Germany Duration: 24 May 2018 → 25 May 2018 Conference number: 9 http://ceur-ws.org/Vol-2097/ |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Volume | 2097 |
| ISSN (Print) | 1613-0073 |
Conference
| Conference | 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018) |
|---|---|
| Abbreviated title | EMISA 2018 |
| Country | Germany |
| City | Rostock |
| Period | 24/05/18 → 25/05/18 |
| Internet address |
Fingerprint
Keywords
- Artifact-centric systems
- Event logs
- Object-centric
- Process mining
- Process models
Cite this
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Dealing with artifact-centric systems : a process mining approach. / Li, Guangming; de Carvalho, Renata Medeiros.
Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018): Rostock, Germany, May 24th to 25th, 2018. . ed. / Michael Fellmann; Kurt Sandkuhl. CEUR-WS.org, 2018. p. 80-84 (CEUR Workshop Proceedings; Vol. 2097).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Dealing with artifact-centric systems
T2 - a process mining approach
AU - Li,Guangming
AU - de Carvalho,Renata Medeiros
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Process mining provides a series of techniques to analyze business processes based on execution data in enterprises. It has been successfully applied to classical processes on WFM/BPM systems, in which one process execution consists of events attached with the same case id. However, existing process mining techniques suffer from problems when dealing with artifact-centric systems, such as ERP and CRM, in which a business process involves a set of interacting artifacts and a case notion for the whole process is missing. Some typical problems are convergence and divergence in XES logs, and lost interactions between multiple instances in process models. Existing artifact-centric approaches try to address these problems, but have not yet solved them satisfactorily. For instance, one has to pick an instance notion in each artifact, the description of the end-to-end behavior is distributed over multiple diagrams, and the interactions between the data perspective and the behavioral perspective are not explicitly presented. This paper proposes a set of new techniques, such as a novel log format and a novel modeling language, to enable process mining for artifact-centric systems.
AB - Process mining provides a series of techniques to analyze business processes based on execution data in enterprises. It has been successfully applied to classical processes on WFM/BPM systems, in which one process execution consists of events attached with the same case id. However, existing process mining techniques suffer from problems when dealing with artifact-centric systems, such as ERP and CRM, in which a business process involves a set of interacting artifacts and a case notion for the whole process is missing. Some typical problems are convergence and divergence in XES logs, and lost interactions between multiple instances in process models. Existing artifact-centric approaches try to address these problems, but have not yet solved them satisfactorily. For instance, one has to pick an instance notion in each artifact, the description of the end-to-end behavior is distributed over multiple diagrams, and the interactions between the data perspective and the behavioral perspective are not explicitly presented. This paper proposes a set of new techniques, such as a novel log format and a novel modeling language, to enable process mining for artifact-centric systems.
KW - Artifact-centric systems
KW - Event logs
KW - Object-centric
KW - Process mining
KW - Process models
UR - http://www.scopus.com/inward/record.url?scp=85048378483&partnerID=8YFLogxK
M3 - Conference contribution
T3 - CEUR Workshop Proceedings
SP - 80
EP - 84
BT - Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018)
PB - CEUR-WS.org
ER -